Investigating the Impact of a Measurement Program on Software Quality. Sahraoui, H., Briand, L. C., Gu�h�neuc, Y., & Beaurepaire, O. Information and Software Technology (IST), 52(9):923–933, Elsevier, September, 2010. 10 pages.
Paper abstract bibtex Measurement programs have been around for several decades but have been often misused or misunderstood by managers and developers. This misunderstanding prevented their adoption despite their many advantages. In this paper, we present the results of an empirical study on the impact of a measurement program, MQL, in an industrial context. We analyzed data collected on 44 systems of different sizes: 22 systems were developed using MQL while the other 22 did not use a specific measurement program (control group). We studied the impact of MQL on a set of quality indicators. Our results show that MQL had a clearly positive impact on all the studied indicators. This impact is statistically significant for all the indicators but corrective maintenance effort. We therefore bring concrete evidence that a measurement program can have a significant, positive impact on the quality of software systems if combined with appropriate decision making procedures and corrective actions.
@ARTICLE{Sahraoui10-IST-ImpactMeasurementProgram,
AUTHOR = {Houari Sahraoui and Lionel C. Briand and
Yann-Ga�l Gu�h�neuc and Olivier Beaurepaire},
JOURNAL = {Information and Software Technology (IST)},
TITLE = {Investigating the Impact of a Measurement Program on
Software Quality},
YEAR = {2010},
MONTH = {September},
NOTE = {10 pages.},
NUMBER = {9},
PAGES = {923--933},
VOLUME = {52},
EDITOR = {Claes Wohlin},
KEYWORDS = {Topic: <b>Quality models</b>, Venue: <b>IST</b>},
PUBLISHER = {Elsevier},
URL = {http://www.ptidej.net/publications/documents/IST10.doc.pdf},
ABSTRACT = {Measurement programs have been around for several
decades but have been often misused or misunderstood by managers and
developers. This misunderstanding prevented their adoption despite
their many advantages. In this paper, we present the results of an
empirical study on the impact of a measurement program, MQL, in an
industrial context. We analyzed data collected on 44 systems of
different sizes: 22 systems were developed using MQL while the other
22 did not use a specific measurement program (control group). We
studied the impact of MQL on a set of quality indicators. Our results
show that MQL had a clearly positive impact on all the studied
indicators. This impact is statistically significant for all the
indicators but corrective maintenance effort. We therefore bring
concrete evidence that a measurement program can have a significant,
positive impact on the quality of software systems if combined with
appropriate decision making procedures and corrective actions.}
}
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